An error resilient scheme for image transmission over noisy channels with memory

Philippe Burlina, Fady Alajaji

Research output: Contribution to journalArticlepeer-review

25 Scopus citations


This correspondence addresses the use of a joint source-channel coding strategy for enhancing the error resilience of images transmitted over a binary channel with additive Markov noise. In this scheme, inherent or residual (after source coding) image redundancy is exploited at the receiver via a maximum a posteriori (MAP) channel detector. This detector, which is optimal in terms of minimizing the probability of error, also exploits the larger capacity of the channel with memory as opposed to the interleaved (memoryless) channel. We first consider MAP channel decoding of uncompressed two-tone and bit-plane encoded grey-level images. Next, we propose a scheme relying on unequal error protection and MAP detection for transmitting grey-level images compressed using discrete cosine transform (DCT), zonal coding, and quantization. Experimental results demonstrate that for various overall (source and channel) operational rates, significant performance improvements can be achieved over interleaved systems that do not incorporate image redundancy.

Original languageEnglish (US)
Pages (from-to)593-600
Number of pages8
JournalIEEE Transactions on Image Processing
Issue number4
StatePublished - 1998
Externally publishedYes


  • Channels with memory
  • DCT coding
  • Error resilience
  • Joint source/channel coding
  • MAP decoding
  • Unequal error protection

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design


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